Feature extraction of smiley facial expression based on AU sequence optical flow

DOI

10.2991/fmsmt-17.2017.110How to use a DOI?

Keywords

Smile Snapshot, AU sequence, Optical flow, Signature Sequence

Abstract

Facial expression recognition is widely used in linguistics, medical care, service and so on. . But still there exists the problem of accuracy.. To solve this problem, , this paper presents an extraction method based on the flow characteristics of facial motion unit for the facial expression recognition. The facial action coding system (FACS) is first applied to extract facial motion unit, and then optional flow method for these areas is used to extract eigenvalue to constitute the signature sequence, finally categorization based on random forests is applied to classify and recognize the smiley facial expression. Experimental results validate the effectiveness of the proposed scheme.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jin Yan
AU  - Jin Wang
AU  - Qing Zhu
PY  - 2017/04
DA  - 2017/04
TI  - Feature extraction of smiley facial expression based on AU sequence optical flow
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 538
EP  - 544
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.110
DO  - 10.2991/fmsmt-17.2017.110
ID  - Yan2017/04
ER  -